Automated daily human activity recognition for video surveillance using neural network

Automated daily human activity recognition for video surveillance using neural network

Surveillance video systems are gaining increasing attention in the field of computer vision due to its demands of users for the seek of security. It is promising to observe the human movement and predict such kind of sense of movements. The need arises to develop a surveillance system that capable t...

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Bibliographic Details
Main Authors: Babiker, Mohanad, Khalifa, Othman Omran, Htike, Kyaw Kyaw, Hassan Abdalla Hashim, Aisha, Zaharadeen, Muhamed
Format: Proceeding Paper
Language:English
English
Published: IEEE 2017
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/62659/
http://irep.iium.edu.my/62659/1/62659_Automated%20daily%20human%20activity%20recognition.pdf
http://irep.iium.edu.my/62659/7/62659_Automated%20daily%20human%20activity%20recognition%20for%20video%20surveillance_SCOPUS%20Conf.pdf

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